Cboe Global Markets (CBOE) Capital Expenditures (2010 - 2026)
Cboe Global Markets (CBOE) posted Capital Expenditures of $33.1 million for Q2 2026, up 63.1% from $20.3 million a year earlier and up 72.4% from the prior quarter.
Cboe Global Markets (CBOE) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Cboe Global Markets was $88.3 million, up 24.7% year-over-year; for FY2025, it was $71 million, up 16.6% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Capital Expenditures was $60.9 million in FY2024 (+35.3%), $45 million in FY2023 (-24.7%), $59.8 million in FY2022 (+17.3%) and $51 million in FY2021 (+7.6%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures in data going back to Q3 2010.
- On a year-over-year basis, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 40.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2024, with growth of 128.2%; the weakest was Q1 2024, with a decline of 41.1%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $19.2 million (Q1 2026), $20 million (Q4 2025) and $16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 12.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 487.00 Mn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 23.60 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 144.00 Mn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 77.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 675.00 Mn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 18.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 25.40 Mn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 33.10 Mn |
| 10 | LPL Financial Holdings | 24.26 Bn | 19.58 Bn | - | 199.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.10 Mn |
| Mar 31, 2026 | 19.20 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 16.00 Mn |
| Jun 30, 2025 | 20.30 Mn |
| Mar 31, 2025 | 14.70 Mn |
| Dec 31, 2024 | 23.80 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 17.80 Mn |
| Mar 31, 2024 | 7.30 Mn |
| Dec 31, 2023 | 17.10 Mn |
| Sep 30, 2023 | 7.70 Mn |
| Jun 30, 2023 | 7.80 Mn |
| Mar 31, 2023 | 12.40 Mn |
| Dec 31, 2022 | 27.40 Mn |
| Sep 30, 2022 | 10.20 Mn |
| Jun 30, 2022 | 11.40 Mn |
| Mar 31, 2022 | 10.80 Mn |
| Dec 31, 2021 | 13.70 Mn |
| Sep 30, 2021 | 16.00 Mn |
Cboe Global Markets Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CBOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();